Data Analyst

Summary

Progressive Leasing is a provider of in-store and e-commerce lease-to-own solutions and operates in the FinTech space. The Data Analyst will build and improve decision systems, predictive models, analytics methods, and business processes using data analysis, data mining, machine learning, and software engineering to drive business impact.

Responsibilities

• Bu?ld, m??nt??n, ?nd ?m?r?v? d??????n ???t?m? ?nd ?r?d??t?v? m?d?l? th?t ?r? k?? t? ?r?gr????v? L????ng'? ??m??t?t?v? ?dv?nt?g?
• ?x?l?r? n?w d?t? ??ur??? b?th ?nt?rn?l ?nd ??t?rn?l t? ?r?gr????v? ?nd u?? f?nd?ng? t? furth?r ?m?r?v? m?d?l ??rf?rm?n??
• D???gn, ?m?l?m?nt, ?nd r??d ?n-m?rk?t ????r?m?nt? t??t?ng n?w ?lg?r?thm?, t??hn?l?g???, ?nd ?r???????
• ?r?t?t??? ??lut??n? t? bu??n??? ?r?bl?m? u??ng ?utt?ng-?dg? t??hn?l?g???
• R???mm?nd ?nd ?u???rt ?tr?t?g?? ?h?ng?? thr?ugh r?g?r?u? ?n?l?t???, ?r??t?v? ?r?bl?m ??lv?ng
• ?d?nt?f?, ?v?lu?t?, ?nd h?l? ?m?l?m?nt ?dv?n??d ?n?l?t??? m?th?d?
• B? ??rt ?f ? ??ll?g??l t??m ?f l?k?-m?nd?d d?t? ????nt??t?!

Skills

• 2+ years of experience in product or data analytics
• Bachelor's degree ?n ? qu?nt?t?t?v? / t??hn???l f??ld (M?th, ?t?t?, ???n, ?ng, ?h?????, ??m????)
• ?x??r??n?? w?th R, ??th?n, m??h?n? l??rn?ng t??l?, and SQL
• ?v?d?n?? ?f ???l??ng ?dv?n??d m?d?l? t? r??l-w?rld ?r?bl?m?
• ?b?l?t? t? ?r?ft r?g?r?u? r????r?h / ?v?lu?t??n d???gn?
• ?x??r??n?? ?n ?ng?n??r?ng ?nv?r?nm?nt?
• Knowledge ?f D?v??? and G?t
• ? tr??k r???rd ?f agentic AI use and implementation

Qualifications

Must Haves

• 2+ years of experience in product or data analytics
• Bachelor's degree ?n ? qu?nt?t?t?v? / t??hn???l f??ld (M?th, ?t?t?, ???n, ?ng, ?h?????, ??m????)
• ?x??r??n?? w?th R, ??th?n, m??h?n? l??rn?ng t??l?, and SQL
• ?v?d?n?? ?f ???l??ng ?dv?n??d m?d?l? t? r??l-w?rld ?r?bl?m?
• ?b?l?t? t? ?r?ft r?g?r?u? r????r?h / ?v?lu?t??n d???gn?
• ?x??r??n?? ?n ?ng?n??r?ng ?nv?r?nm?nt?
• Knowledge ?f D?v??? and G?t
• ? tr??k r???rd ?f agentic AI use and implementation

Benefits

• The role can be performed remotely anywhere in the continental US or in the company's Utah office.
• Opportunity to grow in data science or leadership paths.
• Full health benefits: medical, dental, vision, and life insurance.
• Parental leave.
• Company-matched 401(k).
• Employee Resource Groups (ERGs).
• Employee stock purchase program.
• Tuition reimbursement.
• Charitable gift matching.
• Necessary equipment and services.